期刊
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
卷 17, 期 1, 页码 592-606出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNSM.2019.2956843
关键词
Load management; Quality of service; Markov processes; Streaming media; Quality of experience; Load modeling; Delays; Network selection; Markov decision process; traffic and performance monitoring; QoS; QoE
资金
- Italian University and Research Ministry [MIUR_PON04a2_00381]
- Science Foundation Ireland (SFI) Research Centres Programme [13/RC/2094]
The recent growth in both number of high specification mobile devices and network multimedia data demand, has made difficult supporting access to the multimedia content at high user Quality of Experience (QoE) levels. It is even more challenging to support offering such services adjusted to user specific requirements in current heterogeneous wireless network environments (HWNE). This paper proposes a novel Prioritized Adaptive Real-time Multi-user Access Network Selection framework (P-ARMANS) which employs a Markov Decision Process (MDP) solution to perform improved bandwidth resource allocation. P-ARMANS enables load balancing during multimedia delivery when users with diverse priority and different device screen resolutions access various services. Modeling and simulations show how P-ARMANS distributes content with different types of traffic and load among typical and business users at higher QoE levels compared to a classic no-priority approach.
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